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Cécilia DAMON

ANTONY

Electionseuropéennes 2024

RETROUVEZ GRATUITEMENTLe résultat des européennes à Antony ainsi que le résultat des européennes dans les Hauts-de-Seine.

En résumé

Research Engineer in machine learning/statistical data mining/signal & image processing (PhD). Analyses of biomedical data (neuroimaging and biological). Computer programming.

Management of research projects in datamining/machine learning on public helath issues.

Spécialisations : Machine learning/statistical data mining/signal and image processing. Computer programming (C, C++, java, python, matlab, R).

http://fr.linkedin.com/pub/cécilia-damon/3b/342/2a5 (linkedin profil)

Entreprises

  • Institut HyperCube - Research Project Manager in DataMining/Machine learning on Life Science issues

    2015 - maintenant Management of research projects in datamining/machine learning on public health issues.
    Mission : R&D in Datamining/Machine learning with research partnerships on rare diseases, orphan diseases and major public health problems. Collaboration with Bearing HyperCube R&D departement on Data Mining and Big Data solutions.

  • Ariana Pharma - Biostatistican

    Châtellerault 2014 - 2014 Mission : Use and improve Ariana's technology (association rule learning) for clinical trial data analysis and biomarkers discovery.
    Client projects : Data mining on clinical trials data
    Research project : analysis and processing of metabolomic profile acquired with RMN-HRMAS technology to provide assistance in brain tumour diagnostic and pronostic for neurosurgeons in extemporaneous examination. Machine learning for biomarkers discovery. (ExtempoRMN french project, Bpifrance funding)

  • Telecom Paris Tech - Research Engineer (signal processing and machine learning) Telecom Paris Tech

    Paris 2012 - 2013 Set up an automatic system of EEG recordings analysis and processing for subjects having intense mental or physical activity in order to prevent cognitive or physical performance decrease (French project MEEGAPERF, funded by DGA).

    Artifact rejection methods (ICA, NMF, NTF). Participation of the experimental protocol design.
    Kinect programming.

  • CEA - DRT/LIST/LIMA - Research Engineer (Machine learning)

    2010 - 2012 Applied Research
    - energetic project : solar radiance and temperature forecasting based on past weather data (Bayesian neural network)
    - health project (Care4me UE project - ITEA programme) : prediction of neurodegenerative disorders related to Alzheimer's disease based on anatomical MRI data (Multiple kernel learning)

    Scientific Animation ‎:
    - working group on multiple kernel learning for health and energetic problems
    - participation in the organization of AFIA event 2011 (meeting organized by the French Association for Artificial Intelligence)
    - organization of a collaboration with neurospin (neuroimaging research center - CEA)

  • INRIA Futurs - CEA Saclay (Neurospin/I2BM/LNAO) - PhD

    2006 - 2010 Thesis : Use of Classication techniques for the Characterization of a Population of subjects based on Functional Neuroimaging data.

Formations

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